code: def __init__(self):
      self.meteor_cmd = [
          "java",
          "-jar",
          "-Xmx2G",
          METEOR_JAR,
          "-",
          "-",
          "-stdio",
          "-l",
          "en",
          "-norm",
      ]
      self.meteor_p = subprocess.Popen(
          self.meteor_cmd,
          cwd=os.path.dirname(os.path.abspath(__file__)),
          stdin=subprocess.PIPE,
          stdout=subprocess.PIPE,
          stderr=subprocess.PIPE,
      )
      # self.meteor_p = subprocess.Popen(self.meteor_cmd, \
      #         cwd=os.path.dirname(os.path.abspath(__file__)), \
      #         stdin=subprocess.PIPE, \
      #         stdout=subprocess.PIPE, \
      #         stderr=subprocess.PIPE)
      # Used to guarantee thread safety
      self.lock = threading.Lock()
  
file_path: graph4nlp/graph4nlp/pytorch/modules/evaluation/meteor_tool/meteor.py
imports: import os
  import subprocess
  import threading
label_desc: Use image node_id 1 to create a new Meteor object  with example: obj = Meteor()